At Credit Suisse, we have been investing in machine learning models to enable real-time predictions of market volume, volatility and price movement. Specifically, for the IS wheel, these real-time ...

But before jumping into our first set of machine learning applications in this post, I should probably justify why I think machine learning holds such promise for improving trading-related processes ...

Common misunderstandings of these tools include the difference between predictive analytics and machine learning and the human element that’s needed to optimize your results.

Despite years of hype, only now does a new study suggest machine learning can crack trading, raising further questions for the future of finance and the part humans will play.